KoichiYasuoka's picture
initial release
da5fde3
metadata
language:
  - ja
tags:
  - japanese
  - token-classification
  - pos
base_model: nlp-waseda/gpt2-small-japanese
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification
widget:
  - text: 国境の長いトンネルを抜けると雪国であった。

gpt2-small-japanese-juman-upos

Model Description

This is a GPT-2 model for POS-tagging, derived from gpt2-small-japanese. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.

How to Use

from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/gpt2-small-japanese-juman-upos",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("国境の長いトンネルを抜けると雪国であった。"))

fugashi is required.